agent-learning

Use ctx-backed local agent-history search as bounded evidence references while creating, validating, or consolidating voku/agent-learning findings.

Set up and operate voku/agent-learning in a consuming repository, including learning-root config.json, findings, proposals, consolidation prompts, validation, and lifecycle commands. Use for end-user learning-loop workflows, not package source development.

Maintain voku/agent-learning package source, tests, docs, CLI behavior, configurable paths, constraint lifecycle code, and local vendor syncs in consuming projects.

Maintain repository-owned agent skills, memory, docs, and installed copies after reviewed durable learnings.

Capture reviewable agent-learning findings for this repository after meaningful sessions.

Turn stable repository guidance into local executable constraints such as static-analysis rules, tests, or CI checks.

Turn validated agent-learning findings into human-approved executable constraints such as PHPStan rules, PHP-CS-Fixer rules, tests, or CI checks, with generation packages, manifests, fixtures, and validation evidence.

Capture, validate, and transition package-specific findings and proposals for voku/agent-learning.